Understanding 10 601 Machine Learning Fall 2017 Lecture 18
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Key Takeaways about 10 601 Machine Learning Fall 2017 Lecture 18
- Deep
- Decision Trees, Regularization, Overfitting
- Naïve Bayes
- Inductive Bias
- Information Theory: Cross Entropy and Self Entropy
Detailed Analysis of 10 601 Machine Learning Fall 2017 Lecture 18
Bayesian For more information about Stanford's 2006
Neural Networks 2: Backpropagation
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